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[1]LIU Jie,WANG Mingxia,WU Zhaopeng.Spatiotemporal Distribution Characteristics of Soil Moisture in Surface Layer of Oasis in Jinghe Basin Under the Support of Remote Sensing Model[J].Research of Soil and Water Conservation,2016,23(03):95-99.

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Spatiotemporal Distribution Characteristics of Soil Moisture in Surface Layer of Oasis in Jinghe Basin Under the Support of Remote Sensing Model

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 03 Page number: 95-99 Column: Public date: 2016-06-28

Title:: Spatiotemporal Distribution Characteristics of Soil Moisture in Surface Layer of Oasis in Jinghe Basin Under the Support of Remote Sensing Model

Author(s):: LIU Jie¹, WANG Mingxia¹, WU Zhaopeng^1,2; 1. College of Geography and Tourism Science, Xinjiang Normal University, Urumqi 830054, China;
2. Municipal Key Laboratory of Arid Lake Environment and Resources, Xinjiang Normal University, Urumqi 830054, China

Keywords:: remote sensing; soil moisture; spatiotemporal distribution; Jinghe Basin

CLC:: S152.7

DOI:: -

Abstract:: Soil moisture has an important influence on the change of climate, the stability of ecological environment and the development of oasis farming in the arid area. Based on the Landsat TM and ETM+ images, we selected the Oasis of Jinghe Basin as the study site and investigated the moisture changes of the topsoil in spring, summer and autumn during the period from 2002 and 2011 using the modified Temperature-Vegetation Dryness Index (TVDIm). The findings are listed as follows： (1) By comparing and measuring, we found that the R² value of precision is 0.800 2, which means that TVDIm can better reflect the distribution of soil moisture in oasis; (2) The seasonal changes of moisture in the topsoil of the study area are significant, that is to say the moisture decreased in the order: autumn > summer > spring, and the water content is becoming higher in recent 10 years; (3) The condition of soil moisture in the inland of the study area is better than that in the transition belts and natural deserts; (4) The overlay analysis of land use indicated that human activities had the strong influence on the spatial distribution of soil moisture.

References:: [1] 李秀彬.全球环境变化研究的核心领域:土地利用/土地覆被变化的国际研究动向[J].地理学报,1996,51(6):553-558.
[2] Nunes C, Auge J L. Land-use and Land-cover Change(LUCC):Implementation strategy[M].1999.
[3] 蒋冲,王飞,穆兴民,等.黄土高原农田土壤湿度演变及其与气候变化的响应关系[J].干旱地区农业研究,2012,30(3):234-243.
[4] 王晓贤,张学培.晋西黄土高原土壤水分垂直变化规律及生态影响[J].水土保持研究,2009,16(2):200-204.
[5] 张哲,焦峰,梁宁霞,等.延河流域不同植被带土地利用方式的土壤水分分析评价[J].水土保持研究,2014,21(4):74-79.
[6] 蒲金涌,姚晓红,辛昌业,等.甘肃黄土高原土壤水分预测及旱情预警模型研究[J].干旱地区农业研究,2010,28(3):254-258.
[7] 王范霞,毋兆鹏.近40 a来精河流域绿洲土地利用/土地覆被时空动态演变[J].干旱区资源与环境,2013,27(2):150-155.
[8] 李加强,陈亚宁,李卫红,等.天山北坡中小河川降水与径流变化特征:以精河为例[J].干旱区地理,2010,33(4):615-622.
[9] 寿敬文,陈雪,马建文,等.采用ALR算法对Landsat-7图像缺行修复的应用研究[J].光电子·激光,2006,17(3):368-371.
[10] Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature vegetation index space for assessment of surface moisture status[J].Remote Sensing of Environment,2002,79(23):213-224.
[11] Qi J, Huete A R, Moran M S,et al. Interpretation of vegetation indices derived from multi-temporal SPOT images[J].Remote Sensing of Environment,1993,89(44):89-90.
[12] 姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.
[13] 王磊,文军,韦志刚,等.中国西北区西部土壤湿度及其气候响应[J].高原气象,2008,27(6):1257-1266.
[14] 苏明峰,王会军.全球变暖背景下中国夏季表面气温与土壤湿度的年代际共变率[J].科学通报,2007,52(8):965-971.

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